💼 Career

🍕 Senior Manager, Data Engineering

JustEat Takeaway.com | Feb 2026 - Present | London

Leading multi-disciplinary teams of data engineers and scientists across Customer Service and Fraud domains.

🏛️ Lead Data & AI Engineer

Made Tech | Feb 2025 - Feb 2026 | London

Lead Data Engineer/Architect for a talented team of data engineers and analysts, providing mentorship whilst actively building the wider Data & AI practice and advocating for DevOps best practices.

Key Achievements:

  • Successfully delivered the RBA (Reception Baseline Assessment) Data Platform for the Department for Education
  • Managed key stakeholders to grow the account commercially whilst ensuring successful delivery
  • Enabled and advocated for DevOps best practices across the team

Technologies: Microsoft Azure, Databricks, Spark, Terraform, Power BI

📚 Lead Data Engineer | Data Engineering Manager

Penguin Random House UK | Feb 2023 - Sep 2024 | London

Operational and technical lead for the data engineering team at Penguin. Managed a talented team of 5 engineers with specialisations across analytics, machine learning, platform, and test engineering.

Technologies: AWS, Dagster, Airflow, Terraform, DBT, Snowflake, FiveTran, Valohai, Power BI

🔮 Data Engineer

Palantir Technologies | Aug 2022 - Oct 2022 | London

Developed and optimised data pipelines for the NHS in response to Covid-19.

Key Responsibilities:

  • Developed data pipelines using Python, Spark & SQL on the Foundry platform
  • Developed technical framework for healthcare data pipelines under Palantir’s NHS contract
  • Liaised with technical and non-technical teams to understand client requirements
  • Implemented Python-based ETL with Git and CI/CD to enable data science workflows

Technologies: Palantir Foundry, Spark, Python, SQL

🏦 Data Scientist | Quantitative Developer

Santander UK | Sep 2019 - Jul 2022 | London

Implemented various proof-of-concepts to help optimise cost and increase revenue across payments, quantitative risk, financial crime, and retail/corporate banking.

Key Projects:

  • Mortgage Churn Model - Built predictive model using Python and Plotly Dash to identify customers likely to default, improving customer retention by up to 3%

  • Chatbot Optimisation - Applied NLP to improve customer satisfaction and identify where agents/chatbots could improve responses, with automated alerts for negative sentiment thresholds

  • Entity Resolution - Automated client remediation within the data lake using API integrations with DueDil, presenting results to C-Suite stakeholders

  • BBB Reporting - Created ETL scripts to automate invoicing reports to the British Business Bank for COVID business loans, processing 150,000 contract accruals daily and generating GBP 28M revenue in 2020

  • Credit Risk Modelling - Developed capital models (economic + regulatory) for the corporate bank using SAS

  • Infrastructure - Automated Data Lake ETL, CI/CD, and model builds using Docker, Cloudera CDSW, and AWS (Redshift, S3, SageMaker, ECR)

Technologies: AWS, Docker, Cloudera, Impala, HiveQL, Python (Sklearn, XGBoost, Scipy, Plotly Dash), SAS